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Actively Learning, Un-Learning and Re-Learning
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Actively Learning, Un-Learning and Re-Learning

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muhammad-ahsan/README.md

Muhammad Ahsan πŸ‘‹

Welcome to my GitHub profile!

πŸ”­ Current Focus: Leading multiple data science and machine learning projects.

πŸ‘¨β€πŸ’» What I Do:

  • Leveraging data to gain actionable insights and drive business value..
  • Develop scalable machine learning models and application.
  • Design and implement end-to-end machine learning pipelines.
  • Create and deploy comprehensive data processing workflows.

❀️ Interests: Architecting scalable, fault-tolerant and secure cloud solutions tailored for machine learning driven applications.

🌱 Professional Growth: Continuously enhancing my skills in deep learning, LLMs and exploring new methodologies in reinforcement learning.

πŸ“« Contact Me:

I am open to consulting opportunities and collaborations. If you have a challenging problem that could benefit from data science and machine learning, let's connect!

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  1. serverless-thumbnailizer serverless-thumbnailizer Public

    An application for generating thumbnails, utilizing a serverless architecture on the AWS Cloud and implemented with Terraform infrastructure as code (IaC)

    Python

  2. autotweet autotweet Public

    Auto generate tweets powered by pre-trained GPT2 based large language model (LLM) available offline.

    Python

  3. sentiment-sage sentiment-sage Public

    Dockerized nltk model which spits out sentiment score given a sentence using FastApi

    Python

  4. theft-radar theft-radar Public

    Bike theft incidents visualisation for major cities

    Python

  5. workswap workswap Public

    A command line tool to switch development environments with ease.

    Shell

  6. phonetisch phonetisch Public

    Python implementation of phonetic algorithms including soundex and cologne process for German and English.

    Python 3 1